QRS Detection Based on Morphological Filter and Energy Envelope for Applications in Body Sensor Networks |
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Authors: | Fei Zhang Yong Lian |
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Affiliation: | (1) Department of Electrical and Computer Engineering, National University of Singapore, 119260 Singapore, Singapore |
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Abstract: | Emerging body sensor networks (BSN) provide solutions for continuous health monitoring at anytime and from anywhere. The implementation
of these monitoring solutions requires wearable sensor devices and thus creates new technology challenges in both software
and hardware. This paper presents a QRS detection method for wearable Electrocardiogram (ECG) sensor in body sensor networks.
The success of proposed method is based on the combination of two computationally efficient procedures, i.e., single-scale
mathematical morphological (MM) filter and approximated envelope. The MM filter removes baseline wandering, impulsive noise
and the offset of DC component while the approximated envelope enhances the QRS complexes. The performance of the algorithm
is verified with standard MIT-BIH arrhythmia database as well as exercise ECG data. It achieves a low detection error rate
of 0.42% based on the MIT-BIH database. |
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